result_visualization.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import glob\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import librosa\n",
    "import soundfile as sf\n",
    "\n",
    "\n",
    "from pprint import pprint"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "EVALUATION_DIR = os.path.join('..', 'PROJECT','EVALUATION')\n",
    "csv_files = [file for file in os.listdir(EVALUATION_DIR) if file.endswith('.csv')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['ConvTasNet_sisdr_0.0001_10_epochs.csv', 'UNet_mse_0.0001_10_epochs.csv']\n"
     ]
    }
   ],
   "source": [
    "print(csv_files)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = []\n",
    "for file in csv_files:\n",
    "    df = pd.read_csv(os.path.join(EVALUATION_DIR, file), index_col=0)\n",
    "    df = df.rename(columns=lambda x: f\"{file.split('_')[0]}-{x}\")\n",
    "    data.append(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[6102, 6102, 6102, 6102]\n"
     ]
    }
   ],
   "source": [
    "print([len(data[i]) for i in range(len(data))])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ConvTasNet-SDR</th>\n",
       "      <th>ConvTasNet-SIR</th>\n",
       "      <th>ConvTasNet-SAR</th>\n",
       "      <th>ConvTasNet-PESQ-wb</th>\n",
       "      <th>ConvTasNet-PESQ-nb</th>\n",
       "      <th>ConvTasNet-STOI</th>\n",
       "      <th>TransUNet-SDR</th>\n",
       "      <th>TransUNet-SIR</th>\n",
       "      <th>TransUNet-SAR</th>\n",
       "      <th>TransUNet-PESQ-wb</th>\n",
       "      <th>...</th>\n",
       "      <th>UNetDNP-SAR</th>\n",
       "      <th>UNetDNP-PESQ-wb</th>\n",
       "      <th>UNetDNP-PESQ-nb</th>\n",
       "      <th>UNetDNP-STOI</th>\n",
       "      <th>UNet-SDR</th>\n",
       "      <th>UNet-SIR</th>\n",
       "      <th>UNet-SAR</th>\n",
       "      <th>UNet-PESQ-wb</th>\n",
       "      <th>UNet-PESQ-nb</th>\n",
       "      <th>UNet-STOI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>17.977329</td>\n",
       "      <td>36.194252</td>\n",
       "      <td>18.059366</td>\n",
       "      <td>3.233226</td>\n",
       "      <td>3.619332</td>\n",
       "      <td>0.987433</td>\n",
       "      <td>-17.190773</td>\n",
       "      <td>21.550356</td>\n",
       "      <td>-17.190107</td>\n",
       "      <td>1.903501</td>\n",
       "      <td>...</td>\n",
       "      <td>14.035648</td>\n",
       "      <td>2.787961</td>\n",
       "      <td>3.291026</td>\n",
       "      <td>0.980017</td>\n",
       "      <td>-15.295969</td>\n",
       "      <td>50.565861</td>\n",
       "      <td>-15.295950</td>\n",
       "      <td>1.570337</td>\n",
       "      <td>1.999738</td>\n",
       "      <td>0.868956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>16.407366</td>\n",
       "      <td>30.721937</td>\n",
       "      <td>16.582043</td>\n",
       "      <td>2.749493</td>\n",
       "      <td>3.086310</td>\n",
       "      <td>0.954985</td>\n",
       "      <td>-28.823135</td>\n",
       "      <td>7.440589</td>\n",
       "      <td>-28.822075</td>\n",
       "      <td>1.498836</td>\n",
       "      <td>...</td>\n",
       "      <td>14.823952</td>\n",
       "      <td>2.187067</td>\n",
       "      <td>2.761387</td>\n",
       "      <td>0.934991</td>\n",
       "      <td>-23.539087</td>\n",
       "      <td>14.658825</td>\n",
       "      <td>-23.535786</td>\n",
       "      <td>1.210279</td>\n",
       "      <td>1.473868</td>\n",
       "      <td>0.765839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.725702</td>\n",
       "      <td>42.130928</td>\n",
       "      <td>21.768318</td>\n",
       "      <td>2.332600</td>\n",
       "      <td>2.878917</td>\n",
       "      <td>0.961150</td>\n",
       "      <td>-28.239105</td>\n",
       "      <td>27.532511</td>\n",
       "      <td>-28.239063</td>\n",
       "      <td>1.653467</td>\n",
       "      <td>...</td>\n",
       "      <td>16.985132</td>\n",
       "      <td>1.865367</td>\n",
       "      <td>2.459965</td>\n",
       "      <td>0.951456</td>\n",
       "      <td>-34.525471</td>\n",
       "      <td>9.726097</td>\n",
       "      <td>-34.524750</td>\n",
       "      <td>1.257737</td>\n",
       "      <td>1.659449</td>\n",
       "      <td>0.860558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>17.294950</td>\n",
       "      <td>32.612717</td>\n",
       "      <td>17.424271</td>\n",
       "      <td>3.219516</td>\n",
       "      <td>3.516261</td>\n",
       "      <td>0.982699</td>\n",
       "      <td>-24.010597</td>\n",
       "      <td>20.164595</td>\n",
       "      <td>-24.007828</td>\n",
       "      <td>1.475019</td>\n",
       "      <td>...</td>\n",
       "      <td>9.847276</td>\n",
       "      <td>2.141226</td>\n",
       "      <td>2.801395</td>\n",
       "      <td>0.967590</td>\n",
       "      <td>-21.478661</td>\n",
       "      <td>17.508114</td>\n",
       "      <td>-21.476675</td>\n",
       "      <td>1.319781</td>\n",
       "      <td>1.737404</td>\n",
       "      <td>0.859306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>11.786697</td>\n",
       "      <td>24.159729</td>\n",
       "      <td>12.053790</td>\n",
       "      <td>2.388928</td>\n",
       "      <td>2.930843</td>\n",
       "      <td>0.952874</td>\n",
       "      <td>-31.194708</td>\n",
       "      <td>4.688354</td>\n",
       "      <td>-31.193405</td>\n",
       "      <td>1.704571</td>\n",
       "      <td>...</td>\n",
       "      <td>11.202702</td>\n",
       "      <td>1.980907</td>\n",
       "      <td>2.370438</td>\n",
       "      <td>0.949077</td>\n",
       "      <td>-31.809031</td>\n",
       "      <td>7.127397</td>\n",
       "      <td>-31.807632</td>\n",
       "      <td>1.309886</td>\n",
       "      <td>1.367046</td>\n",
       "      <td>0.829373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>9.039018</td>\n",
       "      <td>17.814907</td>\n",
       "      <td>10.232909</td>\n",
       "      <td>2.727755</td>\n",
       "      <td>3.459503</td>\n",
       "      <td>0.970570</td>\n",
       "      <td>-42.248493</td>\n",
       "      <td>-3.414976</td>\n",
       "      <td>-42.247875</td>\n",
       "      <td>1.775856</td>\n",
       "      <td>...</td>\n",
       "      <td>9.663186</td>\n",
       "      <td>2.122084</td>\n",
       "      <td>3.026285</td>\n",
       "      <td>0.944318</td>\n",
       "      <td>-30.643957</td>\n",
       "      <td>5.813907</td>\n",
       "      <td>-30.642906</td>\n",
       "      <td>1.194896</td>\n",
       "      <td>1.557765</td>\n",
       "      <td>0.775794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>7.642513</td>\n",
       "      <td>16.612244</td>\n",
       "      <td>8.328856</td>\n",
       "      <td>1.610022</td>\n",
       "      <td>2.448010</td>\n",
       "      <td>0.873800</td>\n",
       "      <td>-28.558687</td>\n",
       "      <td>20.063210</td>\n",
       "      <td>-28.558208</td>\n",
       "      <td>1.293214</td>\n",
       "      <td>...</td>\n",
       "      <td>8.057158</td>\n",
       "      <td>1.407486</td>\n",
       "      <td>2.019726</td>\n",
       "      <td>0.787868</td>\n",
       "      <td>-25.685844</td>\n",
       "      <td>7.496291</td>\n",
       "      <td>-25.682930</td>\n",
       "      <td>1.149917</td>\n",
       "      <td>1.295798</td>\n",
       "      <td>0.659323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>7.155613</td>\n",
       "      <td>14.750660</td>\n",
       "      <td>8.409345</td>\n",
       "      <td>2.625050</td>\n",
       "      <td>3.158883</td>\n",
       "      <td>0.975302</td>\n",
       "      <td>-22.658794</td>\n",
       "      <td>0.358758</td>\n",
       "      <td>-22.636963</td>\n",
       "      <td>1.578001</td>\n",
       "      <td>...</td>\n",
       "      <td>7.738622</td>\n",
       "      <td>2.267729</td>\n",
       "      <td>2.905412</td>\n",
       "      <td>0.964191</td>\n",
       "      <td>-29.925890</td>\n",
       "      <td>-2.252187</td>\n",
       "      <td>-29.917015</td>\n",
       "      <td>1.380434</td>\n",
       "      <td>1.770729</td>\n",
       "      <td>0.848126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>11.840889</td>\n",
       "      <td>24.024109</td>\n",
       "      <td>12.308667</td>\n",
       "      <td>2.939854</td>\n",
       "      <td>3.307030</td>\n",
       "      <td>0.920716</td>\n",
       "      <td>-28.886162</td>\n",
       "      <td>0.679283</td>\n",
       "      <td>-28.873001</td>\n",
       "      <td>1.950847</td>\n",
       "      <td>...</td>\n",
       "      <td>10.369237</td>\n",
       "      <td>2.393102</td>\n",
       "      <td>2.913766</td>\n",
       "      <td>0.901774</td>\n",
       "      <td>-29.064608</td>\n",
       "      <td>21.263512</td>\n",
       "      <td>-29.051899</td>\n",
       "      <td>1.361215</td>\n",
       "      <td>1.848593</td>\n",
       "      <td>0.830127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>15.006081</td>\n",
       "      <td>33.610512</td>\n",
       "      <td>15.169911</td>\n",
       "      <td>2.610600</td>\n",
       "      <td>3.132100</td>\n",
       "      <td>0.946155</td>\n",
       "      <td>-36.065289</td>\n",
       "      <td>30.175034</td>\n",
       "      <td>-36.065029</td>\n",
       "      <td>1.907907</td>\n",
       "      <td>...</td>\n",
       "      <td>14.232372</td>\n",
       "      <td>2.302993</td>\n",
       "      <td>2.947432</td>\n",
       "      <td>0.924739</td>\n",
       "      <td>-28.787361</td>\n",
       "      <td>30.252079</td>\n",
       "      <td>-28.787338</td>\n",
       "      <td>1.451971</td>\n",
       "      <td>1.934126</td>\n",
       "      <td>0.857442</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    ConvTasNet-SDR  ConvTasNet-SIR  ConvTasNet-SAR  ConvTasNet-PESQ-wb  \\\n",
       "0        17.977329       36.194252       18.059366            3.233226   \n",
       "1        16.407366       30.721937       16.582043            2.749493   \n",
       "2        21.725702       42.130928       21.768318            2.332600   \n",
       "3        17.294950       32.612717       17.424271            3.219516   \n",
       "4        11.786697       24.159729       12.053790            2.388928   \n",
       "..             ...             ...             ...                 ...   \n",
       "95        9.039018       17.814907       10.232909            2.727755   \n",
       "96        7.642513       16.612244        8.328856            1.610022   \n",
       "97        7.155613       14.750660        8.409345            2.625050   \n",
       "98       11.840889       24.024109       12.308667            2.939854   \n",
       "99       15.006081       33.610512       15.169911            2.610600   \n",
       "\n",
       "    ConvTasNet-PESQ-nb  ConvTasNet-STOI  TransUNet-SDR  TransUNet-SIR  \\\n",
       "0             3.619332         0.987433     -17.190773      21.550356   \n",
       "1             3.086310         0.954985     -28.823135       7.440589   \n",
       "2             2.878917         0.961150     -28.239105      27.532511   \n",
       "3             3.516261         0.982699     -24.010597      20.164595   \n",
       "4             2.930843         0.952874     -31.194708       4.688354   \n",
       "..                 ...              ...            ...            ...   \n",
       "95            3.459503         0.970570     -42.248493      -3.414976   \n",
       "96            2.448010         0.873800     -28.558687      20.063210   \n",
       "97            3.158883         0.975302     -22.658794       0.358758   \n",
       "98            3.307030         0.920716     -28.886162       0.679283   \n",
       "99            3.132100         0.946155     -36.065289      30.175034   \n",
       "\n",
       "    TransUNet-SAR  TransUNet-PESQ-wb  ...  UNetDNP-SAR  UNetDNP-PESQ-wb  \\\n",
       "0      -17.190107           1.903501  ...    14.035648         2.787961   \n",
       "1      -28.822075           1.498836  ...    14.823952         2.187067   \n",
       "2      -28.239063           1.653467  ...    16.985132         1.865367   \n",
       "3      -24.007828           1.475019  ...     9.847276         2.141226   \n",
       "4      -31.193405           1.704571  ...    11.202702         1.980907   \n",
       "..            ...                ...  ...          ...              ...   \n",
       "95     -42.247875           1.775856  ...     9.663186         2.122084   \n",
       "96     -28.558208           1.293214  ...     8.057158         1.407486   \n",
       "97     -22.636963           1.578001  ...     7.738622         2.267729   \n",
       "98     -28.873001           1.950847  ...    10.369237         2.393102   \n",
       "99     -36.065029           1.907907  ...    14.232372         2.302993   \n",
       "\n",
       "    UNetDNP-PESQ-nb  UNetDNP-STOI   UNet-SDR   UNet-SIR   UNet-SAR  \\\n",
       "0          3.291026      0.980017 -15.295969  50.565861 -15.295950   \n",
       "1          2.761387      0.934991 -23.539087  14.658825 -23.535786   \n",
       "2          2.459965      0.951456 -34.525471   9.726097 -34.524750   \n",
       "3          2.801395      0.967590 -21.478661  17.508114 -21.476675   \n",
       "4          2.370438      0.949077 -31.809031   7.127397 -31.807632   \n",
       "..              ...           ...        ...        ...        ...   \n",
       "95         3.026285      0.944318 -30.643957   5.813907 -30.642906   \n",
       "96         2.019726      0.787868 -25.685844   7.496291 -25.682930   \n",
       "97         2.905412      0.964191 -29.925890  -2.252187 -29.917015   \n",
       "98         2.913766      0.901774 -29.064608  21.263512 -29.051899   \n",
       "99         2.947432      0.924739 -28.787361  30.252079 -28.787338   \n",
       "\n",
       "    UNet-PESQ-wb  UNet-PESQ-nb  UNet-STOI  \n",
       "0       1.570337      1.999738   0.868956  \n",
       "1       1.210279      1.473868   0.765839  \n",
       "2       1.257737      1.659449   0.860558  \n",
       "3       1.319781      1.737404   0.859306  \n",
       "4       1.309886      1.367046   0.829373  \n",
       "..           ...           ...        ...  \n",
       "95      1.194896      1.557765   0.775794  \n",
       "96      1.149917      1.295798   0.659323  \n",
       "97      1.380434      1.770729   0.848126  \n",
       "98      1.361215      1.848593   0.830127  \n",
       "99      1.451971      1.934126   0.857442  \n",
       "\n",
       "[100 rows x 24 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.concat(data, axis=1)\n",
    "df.head(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['ConvTasNet-SDR', 'TransUNet-SDR', 'UNetDNP-SDR', 'UNet-SDR']\n",
      "ConvTasNet-SDR    10.69\n",
      "TransUNet-SDR    -27.83\n",
      "UNetDNP-SDR        7.61\n",
      "UNet-SDR         -26.99\n",
      "dtype: float64\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cols = [c for c in df.columns if any(metric in c for metric in ['SDR'])]#['SDR', 'SIR', 'SAR'])]\n",
    "print(cols)\n",
    "\n",
    "print(df[cols].mean().round(2))\n",
    "\n",
    "plt.figure()\n",
    "df[cols].boxplot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ConvTasNet-SDR        10.69\n",
      "ConvTasNet-SIR        22.19\n",
      "ConvTasNet-SAR        11.30\n",
      "ConvTasNet-PESQ-wb     1.83\n",
      "ConvTasNet-PESQ-nb     2.38\n",
      "ConvTasNet-STOI        0.85\n",
      "TransUNet-SDR        -27.83\n",
      "TransUNet-SIR         12.24\n",
      "TransUNet-SAR        -27.81\n",
      "TransUNet-PESQ-wb      1.42\n",
      "TransUNet-PESQ-nb      1.90\n",
      "TransUNet-STOI         0.75\n",
      "UNetDNP-SDR            7.61\n",
      "UNetDNP-SIR           16.90\n",
      "UNetDNP-SAR            8.55\n",
      "UNetDNP-PESQ-wb        1.56\n",
      "UNetDNP-PESQ-nb        2.07\n",
      "UNetDNP-STOI           0.82\n",
      "UNet-SDR             -26.99\n",
      "UNet-SIR              18.11\n",
      "UNet-SAR             -26.98\n",
      "UNet-PESQ-wb           1.29\n",
      "UNet-PESQ-nb           1.74\n",
      "UNet-STOI              0.75\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print(df.mean().round(2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def load_example(base_dir, oracles_dir, example_id):\n",
    "    \n",
    "    audios = {}\n",
    "    for model in os.listdir(base_dir):\n",
    "        model_dir = os.path.join(base_dir, model)\n",
    "        \n",
    "        if os.path.isdir(model_dir):\n",
    "            audios.update({\n",
    "                model.split('_')[0]: {\n",
    "                    'mixture': os.path.join(oracles_dir, str(example_id).zfill(4), 'mixture.wav'),\n",
    "                    'clean': os.path.join(model_dir, str(example_id).zfill(4), 'clean.wav'),\n",
    "                    'noise': os.path.join(model_dir, str(example_id).zfill(4), 'noise.wav'),\n",
    "                }\n",
    "            })\n",
    "    \n",
    "    import librosa\n",
    "    for model in audios:\n",
    "        for key in audios[model]:\n",
    "            audios[model][key], _ = librosa.load(audios[model][key], sr=16000)\n",
    "#             audios[model][key] /= np.max(np.abs(audios[model][key]))\n",
    "            audios[model][key] -= np.mean(audios[model][key])\n",
    "    \n",
    "    return audios\n",
    "            \n",
    "example_dict = load_example(EVALUATION_DIR, os.path.join(EVALUATION_DIR, 'Ground_truth_mixes_16kHz_4s'), example_id=0)\n",
    "# pprint(example_dict)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ConvTasNet\n",
      "Oracle\n",
      "TransUNet\n",
      "UNetDNP\n",
      "UNet\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x720 with 15 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(30,10))\n",
    "for i, model in enumerate(example_dict):\n",
    "    print(model)\n",
    "    \n",
    "    plt.subplot(len(example_dict), 3, 3*i+1)\n",
    "    plt.plot(example_dict[model]['mixture'])\n",
    "    plt.xticks([])\n",
    "    plt.yticks([])\n",
    "    \n",
    "    plt.subplot(len(example_dict), 3, 3*i+2)\n",
    "    plt.plot(example_dict[model]['clean'])\n",
    "    plt.xticks([])\n",
    "    plt.yticks([])\n",
    "    \n",
    "    plt.subplot(len(example_dict), 3, 3*i+3)\n",
    "    plt.plot(example_dict[model]['noise'])\n",
    "    plt.xticks([])\n",
    "    plt.yticks([])\n",
    "\n",
    "# plt.show()\n",
    "plt.savefig('')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1433 4148]\n"
     ]
    }
   ],
   "source": [
    "EXPORT_DIR =  os.path.join('..', 'PROJECT','audio_examples')\n",
    "NUM_EXAMPLES = 2\n",
    "SAMPLING_RATE = 16000\n",
    "\n",
    "indices = np.random.randint(0, 6102, size=NUM_EXAMPLES)\n",
    "# indices = [830, 940, 1815, 3233, 4382, 5277]\n",
    "# indices = [45, 2536, 3571, 4066]\n",
    "print(indices)\n",
    "\n",
    "for idx in indices:\n",
    "    # Make the directory\n",
    "    EXAMPLE_FOLDER_NAME = os.path.join(EXPORT_DIR, str(idx).zfill(4))\n",
    "    if not os.path.isdir(EXAMPLE_FOLDER_NAME):\n",
    "        os.makedirs(EXAMPLE_FOLDER_NAME)\n",
    "    \n",
    "    # Get the audio data\n",
    "    example_dict = load_example(\n",
    "        EVALUATION_DIR, \n",
    "        os.path.join(EVALUATION_DIR, 'Ground_truth_mixes_16kHz_4s'), \n",
    "        example_id=idx\n",
    "    )\n",
    "    \n",
    "    # Save audios at the export location\n",
    "    for model in example_dict:\n",
    "        for source in example_dict[model]:\n",
    "            \n",
    "            if source == 'mixture' and model != 'Ground':\n",
    "                continue\n",
    "            \n",
    "#             if model == 'Ground' and source == 'mixture':\n",
    "            \n",
    "            audio_filename = os.path.join(\n",
    "                EXAMPLE_FOLDER_NAME, \n",
    "                f\"{'Ground_truth' if model == 'Ground' else model}_{source}.wav\"\n",
    "            )\n",
    "\n",
    "            sf.write(\n",
    "                audio_filename,\n",
    "                example_dict[model][source], \n",
    "                SAMPLING_RATE, \n",
    "                'PCM_24'\n",
    "            )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "\n",
      " --------------------------------------------------\n",
      "ConvTasNet_sisdr_0.0001_10_epochs.tar\n",
      "{'last_epoch': 9,\n",
      " 'loss': 'sisdr',\n",
      " 'model': 'ConvTasNet',\n",
      " 'test_loss': [8.139048372777387,\n",
      "               8.972720024001395,\n",
      "               9.592892306504055,\n",
      "               9.763761036986605,\n",
      "               10.17202103653554,\n",
      "               10.369551534577717,\n",
      "               10.462277330858523,\n",
      "               10.552624043755888,\n",
      "               10.666846681547353],\n",
      " 'train_loss': [6.4571367341647745,\n",
      "                8.87650255581865,\n",
      "                9.527036014517288,\n",
      "                9.915369217535485,\n",
      "                10.19658795052783,\n",
      "                10.42690270887265,\n",
      "                10.597934967216984,\n",
      "                10.742527045836317,\n",
      "                10.86942810551529]}\n",
      "--------------------------------------------------\n",
      "\n",
      " --------------------------------------------------\n",
      "TransUNet_mse_0.0001_10_epochs.tar\n",
      "{'last_epoch': 10,\n",
      " 'loss': 'mse',\n",
      " 'model': 'TransUNet',\n",
      " 'test_loss': [0.0006432162177126412,\n",
      "               0.0006274991153636328,\n",
      "               0.0005220596189864317,\n",
      "               0.000529219766691148,\n",
      "               0.000618322073474167,\n",
      "               0.0005728591332742444,\n",
      "               0.0005443344838434506,\n",
      "               0.0005134981419184751,\n",
      "               0.0007012702490351539,\n",
      "               0.0004954761447257019],\n",
      " 'train_loss': [0.0006460964034207594,\n",
      "                0.0005377556067127286,\n",
      "                0.0005148061961764577,\n",
      "                0.0005011794502377994,\n",
      "                0.0004965969473620557,\n",
      "                0.0004944192121767334,\n",
      "                0.00048469281718993876,\n",
      "                0.00047810543249870166,\n",
      "                0.0004805299383169422,\n",
      "                0.00047811835090151854]}\n",
      "--------------------------------------------------\n",
      "\n",
      " --------------------------------------------------\n",
      "UNetDNP_sisdr_0.0001_10_epochs.tar\n",
      "{'last_epoch': 9,\n",
      " 'loss': 'sisdr',\n",
      " 'model': 'UNetDNP',\n",
      " 'test_loss': [6.664935865171293,\n",
      "               7.263581655880544,\n",
      "               7.56937322036134,\n",
      "               8.004541685131832,\n",
      "               8.05085579512631,\n",
      "               8.129264768505596,\n",
      "               8.255417459922311,\n",
      "               8.499079148806826,\n",
      "               8.540996575854836],\n",
      " 'train_loss': [5.92323386865166,\n",
      "                7.908221792068316,\n",
      "                8.596396743927464,\n",
      "                9.00442348251094,\n",
      "                9.291338244358538,\n",
      "                9.513119657384152,\n",
      "                9.69245653958789,\n",
      "                9.840602248735944,\n",
      "                9.9646167582687]}\n",
      "--------------------------------------------------\n",
      "\n",
      " --------------------------------------------------\n",
      "UNet_mse_0.0001_10_epochs.tar\n",
      "{'last_epoch': 10,\n",
      " 'loss': 'mse',\n",
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\n"
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    },
    {
     "output_type": "display_data",
     "data": {
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HZ/zZgzup6PtV9Qvc6IlduBOB09SVJQbXl9zHO/aruP7Qf3vr/ozrQliAK+D1pPccmssYYAWu0NjvcQXZDlVMFFeP/YpgHEhVdwGX4E6yFuJK/WZRy7yydTjWe3DMEHBJdxfuvTgLmOK1ro+lpljaN7j36Tngj6r6vM82PxOREtxzewZ3LmCC1l42usZfcUl5+DGOH4Pr79+F695KxZ3UrssLuIbObtx7fCUcOkF8Nu4k7DZvX3/w9g/u72+o1yXzT2/Z73EVWveKyG3eB0bNrGgFuBb+/1BHvhORd6SOOQzChdW6aQNEZAbuhOLJoY6lNRE3vjoX9+HyYajjMaaxrEVvjA/v636i1wXxC9z5k291fxjTmliiN+ZI43GjjHbhLta6UFUPhDYkYwJjXTfGGBPmrEVvjDFhrrbCSiGVnJysffr0CXUYxhjTqixdunSXqqbUtq7FJfo+ffqQlZUV6jCMMaZVEZE6a/ZY140xxoQ5S/TGGBPmLNEbY0yYO2YfvYjMwtUcz1fV47xlXXCz1/TBlQi9VFX31PLYq4E7vF/vUdWnGxNkRUUFubm5lJWVNebhrUpsbCzp6elERUWFOhRjTJioz8nY2bjJMZ7xWXY78L6q3iduTsvbcTWgD/Ep2pWJq+GxVERer+0D4Vhyc3OJj4+nT58+SNAnMGo5VJXCwkJyc3Pp2/dbBQuNMaZRjtl1o6ofc2S9anAFg2pa508DF9by0HNwExrs9pL7e8B3GhNkWVkZSUlJYZ3kAUSEpKSkNvHNxRjTfBrbR9/VK8sKrrpc11q2SePI4v65HJ7MosHCPcnXaCvP0xjTfAIeR6+qKiIB1VEQN+nvTIBevY42dagxxoSPqmolb88B1heUsD6/lB6J7Tlv+NEm5mqcxib6nSLSXVW3i0h33FyR/vJwc0rWSMfN1fgt6ib9fRwgMzOzxRXfKSwsZNIkN6H9jh07iIiIICXFXYC2ePFioqNrnQ8EgKysLJ555hkefPDBZonVGNPylFVUsWnXPjYUlLI+//Bt0659HKw8PD/L1BE9WlSifx24GjfRwNW4uTz9vQvcKyKdvd/P5ugTEbRYSUlJfPnllwDcddddxMXFcdtttx1aX1lZSWRk7S9lZmYmmZmZzRGmMSbEig5UsD6/lA35pYeTekEpObv3U+01YUWgZ+cO9E/pyCkDkxmQGseA1Dj6p8SR2KHuRmMg6jO88kVcyzxZRHJxI2nuA14SkWtxE0lf6m2bCdygqtep6m4RuRtY4u3qt97UZGFhxowZxMbGsmzZMk466SSmT5/Oj370I8rKymjfvj1PPfUUGRkZLFy4kAceeIA333yTu+66i61bt7Jx40a2bt3Krbfeyi233BLqp2KMaQBVZWfxQa9VXsL6glI25O9jfUEpBSWHJyOLjmxHv+SOHNejExeMTHMJPSWOfikdiY2KaNaYj5noVfXyOlZNqmXbLHxmnVfVWcCsRkdXi9+8sYqvtxUHc5cM7ZHAnVOHHXtDP7m5uXz22WdERERQXFzMJ598QmRkJP/+97/5xS9+wbx58771mDVr1vDhhx9SUlJCRkYGN954o42ZN6YFqqyqZuvu/Yda5Ydb6vsoPVh5aLv42EgGpMYxcVDKoZb5gNQ4enbpQES7ljG4osUVNWtNLrnkEiIi3CdzUVERV199Nd988w0iQkVFRa2PmTJlCjExMcTExJCamsrOnTtJT2+zcxYbE3L7yyvZWPDt/vPNhfuoqDp8yrBrQgwDUuO4eLRrnff3Wugp8TEtfrRcq0v0jWl5N5WOHTseuv+rX/2K008/nVdffZXNmzczceLEWh8TExNz6H5ERASVlZW1bmeMCa6DlVWs21HK19uLWLfzcELP23t4ArGIdkLvLh3olxLHpCFdffrPOxIf23q/ebe6RN9SFRUVkZbmLhOYPXt2aIMxpo0rLqvg623FrNpWzKptRXy9rZj1+aVUemdEY6Pa0T8ljjG9O3PZ2J6HEnrvpA7ERDZv/3lzsEQfJD/72c+4+uqrueeee5gyZUqowzGmTag5Mfr19iJW5XmJfXsRObsPt9JT4mMY1iOBSUNSGdq9E8N6JNCrSwfatZD+8+bQ4uaMzczMVP+JR1avXs2QIUNCFFHza2vP15j6qK5WNhXuY9W2Yq+17lrqhfvKD23TJ6kDw3p0YmiPBIb1SGBojwRS42NDGHXzEZGlqlrrWG5r0RtjWpya/vRV24pcYt9ezOrtxewvrwIgKkIY1DWeMwanMqxHAsPSOjGkewJxMZbSamOvijEmpIoOVLB6e9396XExkQztnsClmT0PtdQHpsYTHWnTadSXJXpjTLOo6U+vSebH6k8f1qMTQ7u3vf70pmCJ3hgTdKrK5sL9rMgrOpTYa+tPH56WyPSxvdpcf3pzs0RvjAnYwcoqVuYVk7V5N1lb9pC9Zc+hpG796aFnr7QxpsH27Ctn6ZY9ZG3Zw9Itu1meW0S5V4Wxd1IHTstIIbN3F0b07GT96S2AJfp6CKRMMcDChQuJjo5mwoQJTR6rMcGmqmzatc8l9c17yNqymw0F+wDXWh/WoxPfP7E3mX06M6Z3F1LiY46xR9PcLNHXw7HKFB/LwoULiYuLs0RvWgXXDVNE1uY93+qG6dQ+ijG9O3PR6HQye3dmRM/EZq/EaBrOEn0jLV26lJ/85CeUlpaSnJzM7Nmz6d69Ow8++CCPPfYYkZGRDB06lPvuu4/HHnuMiIgInnvuOR566CFOOeWUUIdvzCG7D3XD7Gbp5j18lXe4G6ZPUgcmZqSS2aczmb070z8lzkbAtEKtL9G/czvsWBHcfXY7HibfV+/NVZWbb76Z1157jZSUFObOncsvf/lLZs2axX333cemTZuIiYlh7969JCYmcsMNNzT4W4AxTUFV2bhr36EumKwte9jo0w1zXFonrh7fmzG9uzCmd2frhgkTrS/RtwAHDx5k5cqVnHXWWQBUVVXRvXt3AIYPH84VV1zBhRdeyIUXXhjCKI1x3TArcovI2rKHrM17yN66h91eN0xihyjG9OrMtDHpZPbuwvD0TtYNE6YCSvQi8iPgh4AA/1DVv/qtn4ibZnCTt2i+qv42kGM2pOXdVFSVYcOGsWjRom+te+utt/j444954403+N3vfseKFUH+9mHMURzqhvGGOa7ILaK8ynXD9E3uyBmDU8ns3ZnMPp3pl2zdMG1FoxO9iByHS/LjgHLgXyLypqqu99v0E1U9L4AYW5yYmBgKCgpYtGgR48ePp6KignXr1jFkyBBycnI4/fTTOfnkk5kzZw6lpaXEx8dTXBzcWbGMAcgvLuOjdQUs2VxHN8yE3mT2cd0wyXHWDdNWBdKiHwJ8oar7AUTkI+Ai4P5gBNaStWvXjldeeYVbbrmFoqIiKisrufXWWxk0aBBXXnklRUVFqCq33HILiYmJTJ06lWnTpvHaa6/ZyVgTkMqqarK37mXh2nwWri3g6+2uAWHdMOZoGl2mWESG4LplxgMHgPeBLFW92WebicA8IBfYBtymqqtq2ddMYCZAr169xmzZsuWI9W2tbG9be77m6HYWl/HR2gIWrsvnk292UVJWSUQ7YUzvzkzMSGHioFQGd4u3bpg2rknKFKvqahH5A7AA2Ad8CVT5bZYN9FbVUhE5F/gnMLCWfT0OPA6uHn1jYzImHFRUVZO9ZQ8L1xWwcG0Bq71We9eEGM49rjsTM1I4aWAyCa14ajvTvAI6GauqTwJPAojIvbiWu+/6Yp/7b4vIIyKSrKq7AjmuMeFmR1EZH61z3TH/+WYXJQcrifRa7f/7ncFMzEhhcLf4Fj8JtWmZAh11k6qq+SLSC9c/f6Lf+m7ATlVVERkHtAMKG3MsVW0Tf+QtbcYv0zQqqqpZumUPC9cWsHBtPmt2lADQLSGWKcO9VvuA5FY9IbVpOQIdRz9PRJKACuAmVd0rIjcAqOpjwDTgRhGpxPXjT9dGZLLY2FgKCwtJSkoK62SvqhQWFhIba6Vaw9H2ogOur31tAZ+uP9xqz+zTmdsnu1Z7RldrtZvgaxVzxlZUVJCbm0tZWVmIomo+sbGxpKenExVlLbnWrryymqwtuw8l97U7Xau9e6dYJmakcNqgVE4akGStdhMUrX7O2KioKPr27RvqMIw5pm17DxzqjvlsQyGlByuJihAye3fh55MHMzEjlUFd46zVbppVq0j0xrRU5ZXVZG3e7Y2QyWfdzlIAenSKZeqIHof62m2SDRNK9tdnTAPl7T1w6IKlz9bvYl95FVERwri+XbhkTE8mZqQwINVa7ablsERvTD2s2VHMq8vy+GB1Pt/ku1Z7WmJ7LhyVxsSMVCb0T6KjtdpNC2V/mcbUoaDkIK8v38a8pbl8vb2YyHbCif2SuGysa7X3T7FWu2kdLNEb46Osoor3V+czLzuXj9YVUFWtDE/vxG/OH8bUET3o0vHo00Ya0xJZojdtnqqSvXUP87LzeHP5NorLKumWEMvMU/tx0ag0BnaND3WIxgTEEr1ps3J27+fVZXnMz85lc+F+2kdF8J3junHx6HTG908iwoqEmTBhid60KSVlFbyzYgfzsnP5YtNuAMb3S+Km0wcw+fjuNgzShCX7qzZhr6pa+XT9LuZl5/Luqh2UVVTTN7kjt509iAtHpZHeuUOoQzSmSVmiN2Fr3c4S5i3N5Z9f5rGz+CCd2kcxbUw6F41OZ1TPRBsxY9oMS/QmrBSWekMis3NZmeeGRE7MSOGuqemcMSSVmEibdcm0PZboTat3sLKKD1bnMy87j4Vr86msVo5LS+DOqUOZOqKHzZVq2jxL9KZVUlWW5exlfnYubyzfTtGBClLjY7j25L5cNDqdjG42JNKYGpboTauSt/cAr2bnMj87j4279hEb1Y5zhnXjotHpnDwg2YZEGlOLQGeY+hHwQ0CAf6jqX/3WC/A34FxgPzBDVbMDOaZpe0oPVvLOiu3Mz85j0UY3QdkJfbtww2n9mXx8N6vnbswxNDrRi8hxuCQ/DigH/iUib6rqep/NJuMmAx8InAA86v005qiqqpVFGwqZl53Lv1bu4EBFFX2SOvCTswbx3VFp9OxiQyKNqa9AWvRDgC9UdT+AiHyEmzf2fp9tLgCe8aYP/FxEEkWku6puD+C4Jozt3lfOrP9sYl52LtuLyoiPjeS7o9O4eHQao3t1tiGRxjRCIIl+JfA7b87YA7jumSy/bdKAHJ/fc71lRyR6EZkJzATo1atXACGZ1qqkrIInPtnEE59s5EBFFRMzUrljylAmDUklNsqGRBoTiEYnelVdLSJ/ABYA+4AvgapG7utx4HFwc8Y2NibT+pRVVPHsoi08snA9e/ZXMPm4bvz07EEMSLVRM8YES0AnY1X1SeBJABG5F9di95UH9PT5Pd1bZtq4iqpqXs7K5cH3v2FHcRmnDkrhtrMHMTw9MdShGRN2Ah11k6qq+SLSC9c/f6LfJq8D/y0ic3AnYYusf75tq65W3vhqG39+bx1bCvczpndn/jp9JCf2Swp1aMaErUDH0c/z+ugrgJtUda+I3ACgqo8Bb+P67tfjhldeE+DxTCulqry/Op8HFqxlzY4ShnRPYNaMTE7PSLUTrMY0sUC7bk6pZdljPvcVuCmQY5jW77MNu/jju2tZtnUvfZI68ODlozjv+O60s4ubjGkWdmWsaTLLc/bywIK1fPLNLrp3iuW+i47n4jHpREW0C3VoxrQpluhN0H2zs4QHFqzl3VU76dIxmjumDOHKE3vbMEljQsQSvQmanN37+cu/1/Hqsjw6Rkfy4zMHce0pfW3WJmNCzP4DTcDyi8t46IP1zFmylXYizDylHzec1p/OHaNDHZoxBkv0JgB795fz2Ecbmf3ZJiqrlMvG9uSWSQPpmhAb6tCMMT4s0ZsG23ewkqc+3cTfP95I6cFKLhyZxq1nDqR3UsdQh2aMqYUlelNvZRVVvPDFVv7vw/UU7ivnrKFd+enZgxjcLSHUoRljjsISvTmmyqpq5mfn8dd/r2NbURkT+ifxP+dkMKpX51CHZoypB0v0pk7V1crbK7fz5wXr2LhrHyN6JvLHS0Zw0oDkUIdmjGkAS/TmW1SVhesKeODdtazaVsygrnE8ftUYzhra1coVGNMKWaI3R1i8aTd/fHcNSzbvoWeX9vzlshGcPyLN5mI1phWzRG8AWJlXxAML1rJwbQGp8THcfeFxXJbZk+hIK1dgTGtnib6N21BQyp8XrOOtFdvp1D6K2ycP5urxfWgfbeUKjAkXlujbqH0HK7n7za95KSuH2KgIbjljANed2o+E2KhQh2aMCTJL9G1QQclBrn16CSvzirh6Qh9uOn0AyXExoQ7LGNNELNG3MRsLSpnx1BLyS8p4/KpMzhzaNdQhGWOaWKBTCf4YuA5QYAVwjaqW+ayfAfyRw/PEPqyqTwRyTNN42Vv3cO3sJYgIc2aOZ2TPxFCHZEz4UIXyfXCwxOdWDOWlR/5+sNRvmxIo9372nwRTHgh6aI1O9CKSBtwCDFXVAyLyEjAdmO236VxV/e/Gh2iCYcGqHdz84jK6dYrl6WvG0SfZ6tIYA0BluU8Srkm8pX7L/JN1iV8C927osY/XLgpiEyAm3t2i4yGuGyQNhJSMJnmKgXbdRALtRaQC6ABsCzwkE2zPfr6FO19byfHpicy6OpMk6483bdGeLbD2bXfbu/Vwcq4qr8eDxScxxx2+H98dYhIgxmdZTLxbFl3Lspg4iGz+/79GJ3pVzRORB4CtwAFggaouqGXTi0XkVGAd8GNVzfHfQERmAjMBevXq1diQjJ/qauWPC9by6MINTBqcykPfG0WHaDstY9oIVdi5Eta8BWvehB0r3PKUIZA+9hiJuabF7S2L6gjtWu81JeLm727EA0U6A/OAy4C9wMvAK6r6nM82SUCpqh4UkeuBy1T1jKPtNzMzU7OyshoVkzmsvLKan72ynH9+uY3vndCL354/jEibq9WEu+oq2Pr54eS+dwsg0PMEGDzF3ZL6hzrKJiEiS1U1s7Z1gTTvzgQ2qWqBd5D5wATgUKJX1UKf7Z8A7g/geKaeissquPG5pXy6vpD/OSeD/5rY32rUmPBVcQA2fOiS+7p3YH8hRERDv9PhlJ9CxmSISw11lCEVSKLfCpwoIh1wXTeTgCOa4iLSXVW3e7+eD6wO4HimHnYUlTHjqcWszy/lT5eM4OIx6aEOyZjg278bvlngWu3r34eK/RDTCQad7VrtA850XS4GCKyP/gsReQXIBiqBZcDjIvJbIEtVXwduEZHzvfW7gRmBh2zqsm5nCVfPWkxJWSVPXTOWUwamhDokY4KnKBfWvA1r3oDNn4JWuZOhI7/nknvvkyHS5imuTaP76JuK9dE3zqINhcx8Nov2URE8dc1YhvXoFOqQjAmMKuSvPtzfvv1Ltzw5w+tvPw96jGrVJ0mDqan66E0L8frybdz20nJ6JXVg9jVjSe/cIdQhGdM41VWQu8Ql9jVvwe6Nbnn6ODjzNy7BJw8MbYytkCX6VkxVeeKTTfzu7dWM69OFx78/hsQO9tXVtDIVZbDpY5fc174N+wrcRUX9ToMJN0PGuRDfLdRRtmqW6Fupqmrlnre+5qlPNzPl+O786dIRxEZZaWHTShzYC9+8551M/be7yjQ6HgaeBUPOgwFnuatHTVBYom+Fyiqq+PHcL3ln5Q5+cFJf7pgyhHY2A5Rp6Yq3uRb7mrdcC766EuK6wvGXuP72vqeE5KrRtsASfSuzd3851z2dxdKte7hjyhCuO6VfqEMypm4F69womTVvQd5St6xLfxh/EwyeCmlj7GRqM7BE34rk7N7PjKcWk7P7AA9fPpopw7uHOiRjnLIil9R3rYWCNe5+/moo2urWp42BSb92LffkQWAX8DUrS/StxMq8Iq6ZvYSDFVU8e+04TuiXFOqQTFu0b5eXyNe62y7vZ8n2w9tExLiRMemZcNItbqRMQo/QxWws0bcGH60r4L+eW0pih2heuO4EBna1K/5ME1J1/ekFa2DXusMt9II1cGD34e2iOrqyuv0mup/JGe5n5z7QzgYGtCSW6Fu4l7NyuH3+CgZ1jWf2NWPpmhAb6pBMuKiuckW/alrnh1ro69xEGDXad4aUwTBkqvuZMsj9TEizLphWwhJ9C6WqPPTBev783jpOHpDMo1eOJt4m7jaNUVnuLjzyb6EXfgOVZYe3i+vmWuQjL/dpoQ+GjsmW0Fs5S/QtUGVVNb96bSUvLs7holFp3HfxcKIjbWSCOYby/S55H2qhe4l990Y3lLFGYi+XwPud5rXQM9wJ0vaJIQvdNC1L9C3M/vJK/vuFZXywJp+bTu/PbWdnWIlhA1UVUJoPJTvcic+S7e5+6Q4o3g6F692sSTVT2UkEdOnnknhNl0vyIHeSNNqmkWxrLNG3ILtKD/KD2UtYmVfEPRcex5Un9g51SKapVVW6S/5rEnfJdijdeeTvJTvcaBf/+UilnbvgKK6rG+Ey8gqX2FMy3Fh1q+RoPJboW4hNu/Zx9azF5JeU8ferMjlraNdQh2QCUV3lkvMxE3gBaLXfg8VNlBHfzZ3w7DHaleON73bkz47JNrrF1Isl+hYge+serp29BBHhxR+eyKhenUMdkqlLdbWbwci368Q3cZdsh5KdLqlr1bcf3zHlcKLuNryWBN4NOqZChP1rmuAJ6K9JRH4MXIf7TrkCuEZVy3zWxwDPAGOAQtycsZsDOWa4ee/rndz8YjZdE2KZfc04+iZb/2mTqq52QwfLiuFgsbui84j7Rd79OtbvKzjyxGaNDkkuWcd1hdRhh5O2fwK37hQTAo1O9CKSBtwCDFXVAyLyEjAdmO2z2bXAHlUdICLTgT/gJhM3wLOfb+HO11ZyfFonnpwxluQ4K+h0VKpQvq+WROyTnI+aqL2f/n3d/iKiIbYTxCS4CooxCS5Rxya4ZO2bvOO7ueRuxbhMCxbo98NIoL2IVAAdgG1+6y8A7vLuvwI8LCKiLW1aq2amqtz/7loeXbiBSYNTeeh7o+gQbV/VATdyZNH/wd4cLznvPTJR19Yd4ksiDifn2E7u1rmPW+afvGM7efc7+dxPgCi7KM2El0DmjM0TkQdwk4QfABao6gK/zdKAHG/7ShEpApKAXb4bichMYCZAr169GhtSq1BeWc3/zvuKV5flcfm4Xtx9wTAiI2yMPGVF8Mmf4fNH3e9JA1zyTUiDlCF1JOpEn/ve+qgOdnGPMX4C6brpjGux9wX2Ai+LyJWq+lxD96WqjwOPg5sztrExtXTFZRXc+NxSPl1fyG1nD+Km0wfYGPmqSsieDR/+HvbvguHTYdKvoFN6qCMzJmwE0l9wJrBJVQsARGQ+MAHwTfR5QE8gV0QigU64k7Jtzo6iMmY8tZj1+aU8cMkIpo1p44lMFb5ZAAt+5eqr9D4Jzn4Z0kaHOjJjwk4giX4rcKKIdMB13UwCsvy2eR24GlgETAM+aIv98+t2ljBj1mKKDlQwa8ZYTh2UEuqQQmvHClhwB2xc6C7suex5V8q2rX+7MaaJBNJH/4WIvAJkA5XAMuBxEfktkKWqrwNPAs+KyHpgN25UTpuys7iMaY9+RkxUBHOvH89xaZ1CHVLoFG+HD++BZc+7uirfuQ8yr7Uhh8Y0sYCGeqjqncCdfot/7bO+DLgkkGO0di8tyaG4rJL3bpzQduvIl++Dzx6GT//qaraMvwlOvc2VvzXGNDkb09eEqquVuVk5TOif1DaTfHU1LH8RPrjbXTE69AI48y5XbMsY02ws0TehTzfsInfPAf7nnIxQh9L8Nn4EC37p+uPTxsC0p6D3+FBHZUybZIm+Cc1ZkkNihyjOGdYt1KE0n4J18N6vYd070KkXXPwkDLsI2tm1AsaEiiX6JrJ7XzkLVu3gyhN7ExvVBioM7iuEhb+HrFnuoqUz74ITbrSrTI1pASzRN5H52blUVCmXje0Z6lCaVkUZLP47fPwnKC+FMTNg4s8hro0PITWmBbFE3wRUlTlLchjZM5HB3RJCHU7TUIVV8+Hfd7n6NAPPgbP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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "import torch\n",
    "import json \n",
    "\n",
    "# model_checkpoints = ['UNet_mse_mask_10_epochs.tar', 'UNetDNP_sisdr_10epochs.tar', 'ConvTasNet_sisdr_10epochs.tar', 'TransUNet_mse_0.0001_10_epochs.tar']\n",
    "checkpoints_dir = os.path.join(\"checkpoints\", \"20210612\")\n",
    "\n",
    "for ckpt in os.listdir(checkpoints_dir):    \n",
    "    if ckpt.endswith('.tar'):\n",
    "        parts = ckpt.split('_')\n",
    "        model_name = parts[0]\n",
    "        loss_name = parts[1]\n",
    "\n",
    "        checkpoint_name = os.path.join(checkpoints_dir, ckpt)\n",
    "        checkpoint = torch.load(checkpoint_name)\n",
    "        \n",
    "        history = checkpoint[\"history\"]\n",
    "        if loss_name == 'sisdr':\n",
    "            history['train_loss'] = [-1*x for x in history['train_loss']]\n",
    "\n",
    "        history['model'] = model_name\n",
    "        history['loss'] = loss_name\n",
    "        history['last_epoch'] = len(history['train_loss'])\n",
    "\n",
    "        print(\"\\n\", \"-\"*50)\n",
    "        print(ckpt)\n",
    "        pprint(history)\n",
    "        print(\"-\"*50)\n",
    "\n",
    "        json_filename = os.path.join(checkpoints_dir, model_name+'.json')\n",
    "        with open(json_filename, 'w') as f:\n",
    "            json.dump(history, f)\n",
    "\n",
    "\n",
    "        figure_filename = os.path.join(checkpoints_dir, model_name+'.png')\n",
    "\n",
    "        plt.figure()\n",
    "        plt.plot(history['train_loss'])\n",
    "        plt.plot(history['test_loss'])\n",
    "        plt.legend(['Train', 'Test'])\n",
    "\n",
    "        # plt.xticks(np.arange(1, 10, 1))\n",
    "        # plt.xlim([0, 9])\n",
    "        \n",
    "        plt.suptitle(f\"{model_name} - {loss_name.upper()} loss {'(dB)' if loss_name == 'sisdr' else ''}\")\n",
    "        plt.title(f\"Last epoch = {history['last_epoch']}. {'Higher SI-SDR is better' if loss_name == 'sisdr' else 'Lower MSE is better'}.\")\n",
    "        \n",
    "        plt.savefig(figure_filename, dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "name": "python3",
   "display_name": "Python 3.6.6 64-bit ('venv': virtualenv)"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.6"
  },
  "interpreter": {
   "hash": "87df712016e31d9ee51c873cc71ed73cdc5c1a3b50a01c208dafb019da6fdfe2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}